Social Risk Screening
Validated screening instruments capture needs like food, housing, and transportation.
AI SDOH analytics software helps healthcare organizations identify and act on social determinants of health, the nonclinical factors like food, housing, and transportation that shape outcomes. A HIPAA-compliant SDOH platform combines social risk screening, data aggregation, risk stratification, Z-code capture, and closed-loop community referrals, with fairness and human oversight built in and care teams driving action.
Social factors influence health outcomes as much as clinical care, yet they are often invisible in the medical record and hard to act on at scale. Taction Software builds custom AI SDOH analytics software that screens for social risk, combines clinical and social data, and helps teams connect patients to community resources and close the loop. We have delivered clinical and data software since 2013, and this work connects to our patient outreach capability.

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AI SDOH analytics software is a population-health and care-coordination tool that helps organizations understand and address social determinants of health. It starts with structured screening using validated instruments, then aggregates data from the EHR, claims, and, where available, community and public sources to build a fuller picture of each patient’s social risk. AI supports several tasks: extracting social needs mentioned in clinical notes, stratifying combined clinical and social risk, and prioritizing outreach to the patients who would benefit most. The platform also captures social determinant Z-codes so social needs are documented in the record, and supports closed-loop referrals to community-based organizations, tracking whether needs were actually met. Because SDOH work is fundamentally about equity, fairness and bias mitigation are central to the analytics, not an afterthought. Development covers screening, data aggregation, risk models, Z-code capture, referral workflows, dashboards, and integration. Crucially, the software informs and coordinates; care teams and community partners take the action.
Validated screening instruments capture needs like food, housing, and transportation.
The platform combines EHR, claims, and community data for a fuller social picture.
AI can extract social needs mentioned in clinical notes to reduce missed signals.
Models stratify patients by combined clinical and social risk to guide outreach.
Social determinant Z-codes document social needs in the medical record.
Referral workflows connect patients to community organizations and track outcomes.
Taction Software delivers SDOH analytics software as a full engagement shaped to your goals, whether you are a health system, a payer, an ACO or value-based care organization, an FQHC, or a digital population health company. We map screening, referral, and reporting workflows first, then build the modules that fit: screening tools, data aggregation pipelines, risk models, note extraction, Z-code capture, referral and closed-loop workflows, dashboards, and integration with the EHR and community networks. Because these models must be fair and trustworthy over time, we build in monitoring aligned with our healthcare AI observability practice, with particular attention to bias. Every module is composable, so you can launch a focused screening-and-referral tool and expand into risk stratification, analytics, and reporting over time. The goal is software that makes social risk visible, connects patients to resources, closes the loop on whether needs were met, and supports equity, while keeping care teams and community partners in charge of action.
Configurable, validated social risk screening built into patient workflows.
Reliable aggregation of EHR, claims, and community data.
Combined risk stratification and note extraction that surface social needs.
Z-code capture that documents social needs in the record.
Community referral workflows that track whether needs were met.
Equity and population dashboards with EHR and community-network integration.
A purpose-built SDOH platform delivers value that generic screening or reporting tools cannot, because addressing social needs depends on visibility, coordination, and equity. The clearest benefit is visibility: systematic screening and note extraction surface social needs that would otherwise stay hidden, and combined risk stratification helps teams prioritize the patients who would benefit most from outreach. Closed-loop referrals move beyond simply identifying needs to tracking whether they were actually met, which is where many programs fall short. Z-code capture documents social needs in the record and supports the reporting payers and value-based programs increasingly expect. For organizations pursuing health equity, fairness-aware analytics help ensure the program narrows rather than widens disparities. A custom build fits real workflows, integrates with existing systems and community networks, and keeps sensitive social data under your control. Throughout, human oversight keeps action with care teams and community partners.
Screening and note extraction surface needs that would otherwise stay hidden.
Combined risk stratification focuses outreach on those who benefit most.
Referral tracking confirms whether social needs were actually met.
Z-code capture documents needs and supports payer and program reporting.
Fairness-aware models help narrow rather than widen disparities.
Human oversight keeps action with care teams and community partners.
Taction Software follows a compliance-first process refined across more than a decade of healthcare delivery. We begin with discovery, documenting screening, referral, and reporting workflows, data sources, community partners, and equity goals. We then design the architecture, defining screening, data aggregation, models, referral workflows, monitoring, and a security and privacy model appropriate for sensitive social data. Development runs in iterative sprints with clinical, care-coordination, and equity review, so the people running the program shape screening, stratification, and referrals early, and we test models for fairness across populations. Testing covers data reliability, model accuracy and fairness, referral workflows, reporting, interoperability, privacy, and security. We support launch, training, and a monitored rollout, then continue monitoring models for both performance and bias. Throughout, we keep documentation structured and consistent, drawing on our experience helping organizations improve clinical documentation quality, so social needs and Z-codes are captured cleanly.
We document screening, referral, and reporting workflows, data sources, and equity goals.
We design screening, aggregation, models, and a HIPAA-aligned privacy and security model.
Features are built in sprints with clinical, care-coordination, and equity review.
We validate data reliability, model accuracy, and fairness across populations.
Security and privacy review confirm HIPAA and organizational requirements before launch.
We support rollout and ongoing monitoring of model performance and bias.
SDOH analytics handles sensitive social and clinical data and directly affects equity, so privacy, security, and fairness are foundational. Taction Software builds every platform on a HIPAA-aligned foundation, with encryption in transit and at rest, granular access controls, audit logging, and Business Associate Agreements where applicable, and we handle sensitive social data with particular care for consent and dignity. Our architecture supports healthcare-grade cloud deployment on AWS or Azure and standards-based interoperability using HL7 and FHIR, including SDOH-focused FHIR resources, so social data connects cleanly with the EHR and community networks. Because SDOH analytics can affect who gets outreach and resources, we treat fairness as a first-class requirement, testing models across populations and monitoring for bias over time. We validate security through structured review and can align the platform with your broader program, including healthcare security audit services. Care teams and community partners always drive the action.
Encryption, access controls, audit trails, and BAAs protect sensitive social and clinical data.
Sensitive social data is handled with care for consent and dignity.
Healthcare-grade deployment on AWS or Azure supports population-scale analytics.
Standards-based integration, including SDOH FHIR resources, connects data and networks.
Models are tested across populations and monitored for bias over time.
Care teams and community partners drive outreach and referrals.
Taction Software is a US-based healthcare software company founded in 2013, with offices in Chicago, Cheyenne, Austin, and Sacramento. We build healthcare software exclusively, so clinical workflow, data engineering, interoperability, and compliance are part of our default process rather than afterthoughts. We have delivered more than 200 healthcare projects, including EHR and EMR platforms such as Voyant Health, FDA-registered mobile applications, and behavioral health tools such as CHIPSS. That experience matters in SDOH, where data integration, fairness, and closed-loop coordination determine whether a program actually improves equity. We work as a long-term engineering partner, building maintainable, standards-based systems rather than prototypes that stall in practice. Our leadership brings deep, hands-on expertise, with our CEO contributing more than 20 years of personal experience in software and healthcare technology. Building with Taction means partnering with a team that has repeatedly taken healthcare software from concept to production in regulated settings.
We build healthcare software only, so compliance and clinical workflow are built into our process.
Data engineering experience suits aggregating clinical, claims, and community data.
We treat fairness and bias monitoring as first-class requirements.
Strong HL7 and FHIR experience, including SDOH resources, ensures clean integration.
US offices and US-based delivery support close collaboration and clear accountability.
We build for maintainability and scale, supporting the software well past launch.
AI SDOH analytics software pricing depends on scope, data integration, and whether you launch a focused tool or a full platform. Taction Software scopes each engagement to your model, and typical ranges are as follows. A focused module or MVP, such as screening and closed-loop referral for one program, generally falls between $40,000 and $80,000. A full SDOH platform with data aggregation, risk models, note extraction, Z-code capture, referral workflows, dashboards, and integration typically ranges from $80,000 to $200,000. Enterprise programs with multi-site deployment, advanced analytics, and deep interoperability start at $200,000 and up. Final pricing follows a discovery phase that defines the exact feature set and integrations. We provide clear, itemized estimates so you can invest in phases and expand the platform as the program grows.
A focused screening-and-referral tool typically ranges from $40,000 to $80,000.
A complete SDOH platform with risk models and integration typically ranges from $80,000 to $200,000.
Multi-site, advanced-analytics, deeply integrated programs start at $200,000 and up.
Data integration breadth, models, referral networks, and reporting drive cost.
Starting with screening and referral lets you validate workflows before scaling.
A short discovery phase produces an itemized, fixed-scope estimate before development begins.
Ready to build AI SDOH analytics software that makes social risk visible and connects patients to resources, fairly and at scale? Taction Software will map your screening and referral workflows, scope the right build, and deliver a HIPAA-compliant platform on a realistic timeline. Contact us to schedule a discovery call and receive an itemized estimate.
AI SDOH analytics software helps organizations identify and act on social determinants of health, the nonclinical factors like food, housing, and transportation that shape outcomes. It combines social risk screening, data aggregation, risk stratification, Z-code capture, and closed-loop community referrals, with fairness and human oversight built in.
Because SDOH analytics can influence who receives outreach and resources, fairness is treated as a first-class requirement. Taction Software tests models across populations, monitors for bias over time, and designs the program so it narrows rather than widens disparities, with care teams driving action.
Closed-loop referrals go beyond identifying a social need to connecting the patient with a community organization and tracking whether the need was actually met. This follow-through is where many SDOH programs fall short, so the platform makes it a core, measurable part of the workflow.
A properly built SDOH platform is HIPAA-compliant. Taction Software includes encryption, access controls, audit logging, and Business Associate Agreements, and handles sensitive social data with care for consent and dignity. Because the data is sensitive, privacy and compliance are engineered into the architecture.
Cost depends on scope. A focused screening-and-referral tool typically ranges from $40,000 to $80,000, a full platform with risk models and integration from $80,000 to $200,000, and enterprise multi-site programs start at $200,000 and up. A discovery phase produces an itemized estimate.
Timelines vary with scope. A focused tool can reach an initial release in a few months, while a full platform with data aggregation, models, and referral networks takes longer. Taction Software works in iterative sprints so you see working software early and can launch in phases.
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